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Senior Metadata Analyst Jobs in Texas (NOW HIRING)

Genius Road, LLC

Senior Enterprise Data Analyst

Dallas, TX · On-site

$85K - $107K/yr

Senior Enterprise Data Analyst Contract Length: 12+ months Location: Dallas, Texas (hybrid 3 days ... Some prior experience with data governance, metadata management, or Master Data Management (MDM)

Apex Informatics

Business Analyst III

Austin, TX · On-site

... metadata management process. • Bachelor's degree in a related field or equivalent experience. • 8+ years of experience as a senior Business Analyst (Technical). • 8+ Years of experience with ...

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Senior Metadata Analyst information

What does a senior metadata analyst do?

A Senior Metadata Analyst is responsible for managing and optimizing metadata, which is data that describes other data, within an organization's systems. They ensure the accuracy, consistency, and integrity of metadata to support data management, discovery, and governance initiatives. Senior Metadata Analysts often collaborate with IT, data governance, and business teams to create metadata standards and processes, and they may also use specialized tools to catalog and maintain metadata repositories.

What are the key skills and qualifications needed to thrive as a senior metadata analyst?

To thrive as a Senior Metadata Analyst, you need expertise in data management, metadata standards, and information architecture, often supported by a degree in information science or a related field. Familiarity with metadata management tools (such as Collibra or Informatica), data catalog systems, and data governance frameworks is typically required. Strong analytical thinking, attention to detail, and effective communication skills help in collaborating with stakeholders and ensuring data consistency. These skills are crucial for maintaining data quality, enabling efficient data discovery, and supporting organizational data governance initiatives.

How does a senior metadata analyst typically collaborate with other departments within an organization?

A Senior Metadata Analyst frequently works cross-functionally with teams such as data governance, IT, business intelligence, and compliance to ensure metadata standards and best practices are consistently applied. They often facilitate workshops, lead metadata documentation efforts, and provide guidance on data classification to support business needs. Effective collaboration is key, as they help bridge technical and business perspectives, ensuring data assets are discoverable, trustworthy, and aligned with organizational goals.

What are the most commonly searched types of Metadata Analyst jobs in Texas?

The most popular types of Metadata Analyst jobs in Texas are:

What are popular job titles related to Senior Metadata Analyst jobs in Texas?

For Senior Metadata Analyst jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Senior Metadata Analyst jobs in Texas look for?

The top searched job categories for Senior Metadata Analyst jobs in Texas are:

Senior Metadata Analyst jobs near you
Infographic showing various Senior Metadata Analyst job openings in Texas as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Business Analyst 1733R

Sistema Technologies, Inc.

Austin, TX • On-site, Remote

Full-time

Re-posted 12 days ago

Job description

Austin, TX
Business Analyst - Solicitation# 529701733R
Texas Health and Human Services Commission (HHSC)
Overview
The Worker will serve as a senior Metadata Ingestion Analyst and a critical liaison between technical IT and non-technical program staff working with complex technical data sources across the Health and Human Services (HHS) departments and agencies. This role empowers HHS staff to effectively determine business and technical glossary definitions for developing agency reporting and strategic decision-making. The ideal candidate has strong analytical skills, a deep understanding of HHS programs and data, strong history of metadata acquisition, analysis and enrichment, with exceptional communication abilities to bridge the gap between technical data systems and operational users in the emerging context of AI.
Responsibilities
  • Strategic Liaison and Translation
    • Work with program areas, project sponsor and system SMEs to connect EIM cataloging and lineage systems to source systems in IT.
    • Automate regular collection and updates to agency metadata for high value data assets.
    • Explain technical findings and data limitations in simple, non-technical language to end-users.
  • Data Reporting and Visualization
    • Extract, integrate, and analyze metadata from multiple complex internal and external sources to support HHS program needs.
    • Collaborate with end-users and performance analysts or IT internal leaders to create visualizations for enrichment progress and official reporting.
    • Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations.
    • Ensure all data outputs adhere to agency reporting standards, data governance, and compliance regulations.
  • Data Literacy and Training
    • Champion data glossary literacy across the organization by developing and conducting training sessions for non-technical staff.
    • Create clear, comprehensive documentation and tutorials on using glossary tools for data synthesis.
    • Promote a data-driven culture by enabling and empowering all employees to effectively utilize metadata and AI.
  • Collaboration and Problem-Solving
    • Work closely with data engineering, IT, and Program teams to troubleshoot metadata-related issues and address inconsistencies and mitigation strategies.
    • Provide expert guidance to program staff on interpreting data trends and answering complex data questions.
    • Stay up to date on new AI and metadata analysis tools and techniques to continuously improve data glossaries, data quality and reporting.
  • AI Prompting and Data Synthesis
    • Develop and refine effective AI prompts and query strategies to retrieve and synthesize metadata accurately from complex data domains.
    • Guide non-technical users in crafting precise prompts to get the glossary data they need, ensuring fidelity and accuracy.
    • Develop a library of standardized prompts and query templates for common reporting needs.
Position will be remote. Program will allow candidates who are within the state (Any location within the State of Texas).
Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Actual
Years
Experience Years
Experience
Needed Required/
Preferred Skills/Experience 8 Required Experience gathering business requirements and translating complex metadata acquisitions and operational requirements into clear, actionable access paths for data glossaries for complex analytics 8 Required Experience explaining technical findings and data limitations in simple, non-technical language to end-users and leadership. 8 Required Experience in a complex data analysis, senior business/systems analyst, and/or data liaison role. 8 Required Strong experience with SQL for data extraction, manipulation and enrichment. 8 Required Experience collaborating with end-users and performance analysts or IT internal leaders to create and validate glossaries for analytics development and business data lineage analysis. 8 Required Excellent communication, presentation, and interpersonal skills. 5 Preferred Experience with Business Intelligence/Data Warehouse 5 Preferred Experience acting as the primary point of contact for program staff with metadata/glossary needs for analytics projects 5 Preferred Experience working in a health and human services or similarly regulated environment, with a strong understanding of agency metadata requirements. 5 Preferred Experience with data governance and data quality principles 5 Preferred Experience with data glossary tools such as Informatica Enterprise Data Catalog (EDC and Axon Data Governance. 2 Preferred Experience championing data literacy across the organization 2 Preferred Experience training and mentoring staff with varying levels of data literacy. 1 Preferred Experience with AI prompt development
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